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Computer Optics, 2016, Volume 40, Issue 6, Pages 895–903
DOI: https://doi.org/10.18287/2412-6179-2016-40-6-895-903
(Mi co342)
 

This article is cited in 2 scientific papers (total in 2 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Research of sparse representation method for ringing suppression

A. V. Umnova, A. S. Krylovb

a National Research University Higher School of Economics, Moscow, Russia
b Lomonosov Moscow State University, Moscow, Russia
Full-text PDF (977 kB) Citations (2)
References:
Abstract: In this paper we suggest an algorithm for ringing suppression based on a sparse representation method. As one of its steps, the suggested method includes image deblurring based on the Wiener-Hunt deconvolution algorithm. The ringing suppression algorithm uses the signals' mutual coherence and sparsities analysis when dealing with the ringing effect based on the sparse representation method. We also analyze the mutual coherence and sparsities for blurred images and images with white Gaussian noise.
Keywords: ringing effect, sparse representations, mutual coherence.
Funding agency Grant number
Russian Science Foundation 14-11-00308
The work was partially funded by the Russian Science Foundation (RSF), grant No. 14–11–00308.
Received: 29.06.2016
Accepted: 30.10.2016
Document Type: Article
Language: Russian
Citation: A. V. Umnov, A. S. Krylov, “Research of sparse representation method for ringing suppression”, Computer Optics, 40:6 (2016), 895–903
Citation in format AMSBIB
\Bibitem{UmnKry16}
\by A.~V.~Umnov, A.~S.~Krylov
\paper Research of sparse representation method for ringing suppression
\jour Computer Optics
\yr 2016
\vol 40
\issue 6
\pages 895--903
\mathnet{http://mi.mathnet.ru/co342}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-6-895-903}
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  • https://www.mathnet.ru/eng/co342
  • https://www.mathnet.ru/eng/co/v40/i6/p895
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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    References:26
     
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